MétaCan
Menu
Back to cohort
Record W4225749803 · doi:10.5281/zenodo.5997475

Bioinspired microneedle patches: Biomimetic designs, fabrication, and biomedical applications

2022· article· en· W4225749803 on OpenAlexaff
Pooyan Makvandi, Aziz Maleki, Majid Shabani, Aaron R. J. Hutton, Rezvan Jamaledin, Tianxu Fang, Jiahuan He, Jesse Lee, Barbara Mazzolai, Ryan F. Donnelly, Franklin R. Tay, Guojun Chen, Virgilio Mattoli

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsMcGill University
FundersEuropean Commission
KeywordsNanotechnologyFabricationBiomimetic materialsBiomimeticsBiomedical engineeringMaterials scienceComputer scienceEngineeringMedicine

Abstract

fetched live from OpenAlex

This is the unformatted version of the accepted review paper manuscript "Bioinspired microneedle patches: Biomimetic designs, fabrication, and biomedical applications" published on Matter, 5(2): 390 (2022), by P. Makvandi*†, A. Maleki†, M. Shabani†, A.R.J. Hutton, M. Kirkby, R. Jamaledin, T. Fang, J. He, J. Lee, B. Mazzolai, R.F. Donnelly, F.R. Tay, G. Chen*, V. Mattoli*.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.119
GPT teacher head0.368
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicAdvancements in Transdermal Drug DeliveryFrench-language works237,207